Language is a means of verbal communication.People use language to communicate with each other.In the society,no two speakers are exactly alike in the way of speaking.Some differences are due to age,gender,statue and ...Language is a means of verbal communication.People use language to communicate with each other.In the society,no two speakers are exactly alike in the way of speaking.Some differences are due to age,gender,statue and personality.Above all,gender is one of the obvious reasons.The writer of this paper tries to describe the features of women's language from these perspectives: pronunciation,intonation,diction, subjects,grammar and discourse.From the discussion of the features of women's language,more attention should be paid to language use in social context.What's more,the linguistic phenomena in a speaking community can be understood more thoroughly.展开更多
The purpose of this essay is to study whether the linguistic behaviour of adult women using hedging and tags as indicative of an intrinsically tentative gender identity or of the effects of male dominant position thro...The purpose of this essay is to study whether the linguistic behaviour of adult women using hedging and tags as indicative of an intrinsically tentative gender identity or of the effects of male dominant position through analyzing daily conversations of the heterosexual couples.The small scale study employs the methodology,namely,recording spontaneous and natural spoken conversation from authentic interaction with the permission of the ten male-female couples.Digital record pen with an omnidirectional microphone are placed in the central living area of each couple's home.Then discourse analysis provides data making it possible to support Fishman's claim that women use tag questions and 'you know' not because women are not being really sure of themselves,or are looking to the addressee for confirmation,but because men in a dominant position often refuse to take responsibility for the smooth conduct of interpersonal relations,women use tag questions and 'you know' to elicit and maintain conversations.展开更多
This article aims to investigate whether women's language is powerless as stated by Robin Lakoff.By analysing the languagefeatures of the conversation in an interview,it is concluded that women's language has ...This article aims to investigate whether women's language is powerless as stated by Robin Lakoff.By analysing the languagefeatures of the conversation in an interview,it is concluded that women's language has more functions rather than being powerless.展开更多
The number of mobile application services is showing an explosive growth trend,which makes it difficult for users to determine which ones are of interest.Especially,the new mobile application services are emerge conti...The number of mobile application services is showing an explosive growth trend,which makes it difficult for users to determine which ones are of interest.Especially,the new mobile application services are emerge continuously,most of them have not be rated when they need to be recommended to users.This is the typical problem of cold start in the field of collaborative filtering recommendation.This problem may makes it difficult for users to locate and acquire the services that they actually want,and the accuracy and novelty of service recommendations are also difficult to satisfy users.To solve this problem,a hybrid recommendation method for mobile application services based on content feature extraction is proposed in this paper.First,the proposed method in this paper extracts service content features through Natural Language Processing technologies such as word segmentation,part-of-speech tagging,and dependency parsing.It improves the accuracy of describing service attributes and the rationality of the method of calculating service similarity.Then,a language representation model called Bidirectional Encoder Representation from Transformers(BERT)is used to vectorize the content feature text,and an improved weighted word mover’s distance algorithm based on Term Frequency-Inverse Document Frequency(TFIDF-WMD)is used to calculate the similarity of mobile application services.Finally,the recommendation process is completed by combining the item-based collaborative filtering recommendation algorithm.The experimental results show that by using the proposed hybrid recommendation method presented in this paper,the cold start problem is alleviated to a certain extent,and the accuracy of the recommendation result has been significantly improved.展开更多
童谣是民间口头文学和儿童文学的一种,其翻译长期以来未受到应有的重视。本文通过分析清末何德兰(Isaac Taylor Headland)所编译的《孺子歌图》探讨童谣的语言特色及其英译问题。文章指出语体风格、语言特点、独特句法等对童谣的翻译具...童谣是民间口头文学和儿童文学的一种,其翻译长期以来未受到应有的重视。本文通过分析清末何德兰(Isaac Taylor Headland)所编译的《孺子歌图》探讨童谣的语言特色及其英译问题。文章指出语体风格、语言特点、独特句法等对童谣的翻译具有重要影响。展开更多
文摘Language is a means of verbal communication.People use language to communicate with each other.In the society,no two speakers are exactly alike in the way of speaking.Some differences are due to age,gender,statue and personality.Above all,gender is one of the obvious reasons.The writer of this paper tries to describe the features of women's language from these perspectives: pronunciation,intonation,diction, subjects,grammar and discourse.From the discussion of the features of women's language,more attention should be paid to language use in social context.What's more,the linguistic phenomena in a speaking community can be understood more thoroughly.
文摘The purpose of this essay is to study whether the linguistic behaviour of adult women using hedging and tags as indicative of an intrinsically tentative gender identity or of the effects of male dominant position through analyzing daily conversations of the heterosexual couples.The small scale study employs the methodology,namely,recording spontaneous and natural spoken conversation from authentic interaction with the permission of the ten male-female couples.Digital record pen with an omnidirectional microphone are placed in the central living area of each couple's home.Then discourse analysis provides data making it possible to support Fishman's claim that women use tag questions and 'you know' not because women are not being really sure of themselves,or are looking to the addressee for confirmation,but because men in a dominant position often refuse to take responsibility for the smooth conduct of interpersonal relations,women use tag questions and 'you know' to elicit and maintain conversations.
文摘This article aims to investigate whether women's language is powerless as stated by Robin Lakoff.By analysing the languagefeatures of the conversation in an interview,it is concluded that women's language has more functions rather than being powerless.
基金Project supported by the National Natural Science Foundation,China(No.62172123)the Postdoctoral Science Foundation of Heilongjiang Province,China(No.LBH-Z19067)+1 种基金the special projects for the central government to guide the development of local science and technology,China(No.ZY20B11)the Natural Science Foundation of Heilongjiang Province,China(No.QC2018081).
文摘The number of mobile application services is showing an explosive growth trend,which makes it difficult for users to determine which ones are of interest.Especially,the new mobile application services are emerge continuously,most of them have not be rated when they need to be recommended to users.This is the typical problem of cold start in the field of collaborative filtering recommendation.This problem may makes it difficult for users to locate and acquire the services that they actually want,and the accuracy and novelty of service recommendations are also difficult to satisfy users.To solve this problem,a hybrid recommendation method for mobile application services based on content feature extraction is proposed in this paper.First,the proposed method in this paper extracts service content features through Natural Language Processing technologies such as word segmentation,part-of-speech tagging,and dependency parsing.It improves the accuracy of describing service attributes and the rationality of the method of calculating service similarity.Then,a language representation model called Bidirectional Encoder Representation from Transformers(BERT)is used to vectorize the content feature text,and an improved weighted word mover’s distance algorithm based on Term Frequency-Inverse Document Frequency(TFIDF-WMD)is used to calculate the similarity of mobile application services.Finally,the recommendation process is completed by combining the item-based collaborative filtering recommendation algorithm.The experimental results show that by using the proposed hybrid recommendation method presented in this paper,the cold start problem is alleviated to a certain extent,and the accuracy of the recommendation result has been significantly improved.
